基本信息
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Bio
Co-founder of Reliant AI, a generative AI startup based in Montréal, Canada and Berlin, Germany.
Core industry member and Canada CIFAR AI Chair at Mila. My PhD research introduced the Atari 2600 as a large-scale benchmark for reinforcement learning research. It led to the emergence of the field now known as deep reinforcement learning (our paper in Nature). In more recent work my research group has continued to push the frontiers of applied deep reinforcement learning, including the first major commercial application of RL as part of a joint project with Loon. My PhD advisors are Michael Bowling and Joel Veness.
I previously led the reinforcement learning efforts of the Google Brain team in Montréal and before then worked as a research scientist at DeepMind in the UK.
Core industry member and Canada CIFAR AI Chair at Mila. My PhD research introduced the Atari 2600 as a large-scale benchmark for reinforcement learning research. It led to the emergence of the field now known as deep reinforcement learning (our paper in Nature). In more recent work my research group has continued to push the frontiers of applied deep reinforcement learning, including the first major commercial application of RL as part of a joint project with Loon. My PhD advisors are Michael Bowling and Joel Veness.
I previously led the reinforcement learning efforts of the Google Brain team in Montréal and before then worked as a research scientist at DeepMind in the UK.
Research Interests
Papers共 157 篇Author StatisticsCo-AuthorSimilar Experts
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OXFORD BULLETIN OF ECONOMICS AND STATISTICS (2024)
ICML 2024 (2024)
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arxiv(2024)
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The MIT Press eBooks (2023)
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arXiv (Cornell University) (2023)
Social Science Research Network (2023)
2022 8th International Conference on Big Data and Information Analytics (BigDIA)pp.317-323, (2023)
Microscopy and Microanalysisno. Supplement_1 (2023): 1932-1933
ICLR 2023 (2023)
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